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Phenology Derived from Landsat

Map of the 75 selected Landsat sidelap regions

Spring and Autumn phenology was calculated for 75 Landsat sidelap regions. From Melaas et al., 2018.

The timing of leaf emergence is an important diagnostic of climate change impacts on ecosystems.

A new dataset provides Landsat phenology algorithm (LPA) derived start and end of growing seasons (SOS and EOS) at 500-m resolution for deciduous and mixed forest areas of 75 selected Landsat sidelap regions across the Eastern United States and Canada. The data are a 30-year time series (1984-2013) of derived spring and autumn phenology for forested areas of the Eastern Temperate Forest, Northern Forest, and Taiga ecoregions.

Landsat-derived Spring and Autumn Phenology, Eastern US - Canadian Forests, 1984-2013

Results from this work support the utility of land surface phenology information derived from Landsat for improving information and understanding of ecosystem processes at landscape scales.

Data Citation:
Melaas, E.K., M.A. Friedl, and D. Sulla-Menashe. 2018. Landsat-derived Spring and Autumn Phenology, Eastern US - Canadian Forests, 1984-2013. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1570

Related Publication:
Melaas, E. K., M. A. Fridel, and D. Sulla-Menashe. 2018. Multidecadal Changes and Interannual Variation in Springtime Phenology of North American Temperate and Boreal Deciduous Forests. Geophysical Research Letters. https://doi.org/10.1002/2017GL076933
Data center: ORNL DAAC
Sponsor: NASA EOSDIS